Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Kun-Chih Jimmy Chen"'
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 12, Iss 1 (2023)
Externí odkaz:
https://doaj.org/article/ae2501ca6376473aa9beb8c4d75ffd74
Publikováno v:
ACM Transactions on Computing for Healthcare. 2:1-21
The electrocardiogram (ECG) has been proven as an efficient diagnostic tool to monitor the electrical activity of the heart and has become a widely used clinical approach to diagnose heart diseases. In a practical way, the ECG signal can be decompose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97f50a6ae820eb5aa1fa7e589d74114c
https://doi.org/10.1145/3453174
https://doi.org/10.1145/3453174
Autor:
Kun-Chih Jimmy Chen, Cheng-Ting Chen
Publikováno v:
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be00de0a56d176742bd671a769417078
https://doi.org/10.1109/aicas54282.2022.9869930
https://doi.org/10.1109/aicas54282.2022.9869930
Autor:
Kun-Chih Jimmy Chen, Chia-Hsin Chen
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4916cb8e8c7eaa0460b938d5f030d372
https://doi.org/10.1109/iscas48785.2022.9937996
https://doi.org/10.1109/iscas48785.2022.9937996
Publikováno v:
2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f33a578e2eb7111e91199c42478574cb
https://doi.org/10.1109/vlsi-dat54769.2022.9768050
https://doi.org/10.1109/vlsi-dat54769.2022.9768050
Publikováno v:
Advances in Computers ISBN: 9780323856881
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f2df89186720d403b32e889c2bf8159
https://doi.org/10.1016/bs.adcom.2021.11.012
https://doi.org/10.1016/bs.adcom.2021.11.012
Autor:
Kun-Chih Jimmy Chen, Cheng-Ting Chen
Publikováno v:
2021 18th International SoC Design Conference (ISOCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef7e8dfe5d62a871a00f9d09945c1e0d
https://doi.org/10.1109/isocc53507.2021.9613856
https://doi.org/10.1109/isocc53507.2021.9613856
Publikováno v:
2021 IEEE 34th International System-on-Chip Conference (SOCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddcb9c94dfd1be1a774abecc1cbccabe
https://doi.org/10.1109/socc52499.2021.9739237
https://doi.org/10.1109/socc52499.2021.9739237
Autor:
Kun-Chih Jimmy Chen, Tze-Ling Kuo
Publikováno v:
COINS
The Deep Neural Network (DNN) already shows the superiority in many real-world applications. Nevertheless, due to the high dense neuron computing, the high-power issue is the main design challenge to implement the DNN hardware. To solve the power pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37d76802c6824ff4e31cadb1306476af
https://doi.org/10.1109/coins51742.2021.9524272
https://doi.org/10.1109/coins51742.2021.9524272
Publikováno v:
MWSCAS
In recent years, Deep neural networks (DNNs) accelerator designs receive much attention due to the dramatically increasing demands of real-time applications. Because of the different computing requirements according to various applications, the invol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7d6f36a3c0058a20fd494c6b2b77481
https://doi.org/10.1109/mwscas47672.2021.9531720
https://doi.org/10.1109/mwscas47672.2021.9531720